- Diabetes, obesity and metabolism
- Greater Severity of Steatosis Is Associated with a Higher Risk of Incident Diabetes: A Retrospective Longitudinal Study
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Ji Min Han, Jung Hwan Cho, Hye In Kim, Sunghwan Suh, Yu-Ji Lee, Jung Won Lee, Kwang Min Kim, Ji Cheol Bae
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Endocrinol Metab. 2023;38(4):418-425. Published online July 12, 2023
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DOI: https://doi.org/10.3803/EnM.2023.1729
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 Abstract
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- Background
Fatty liver is associated with increased risk of developing type 2 diabetes. We aimed to evaluate whether the severity of hepatic steatosis is associated with incident diabetes.
Methods
We conducted a longitudinal analysis using data from 1,798 participants who underwent a comprehensive health checkup and abdominal computed tomography (CT). We assessed the association between baseline liver attenuation value on non-contrast CT images and risk of incident diabetes. All the participants were categorized into three groups based on the baseline liver attenuation value on non-contrast CT images: without hepatic steatosis (>57 Hounsfield unit [HU]), mild hepatic steatosis (41–57 HU), and moderate to severe hepatic steatosis (≤40 HU).
Results
During a median follow-up period of 5 years, 6.0% of the study participants progressed to diabetes. The incidence of diabetes was 17.3% in the moderate to severe hepatic steatosis group, 9.0% in the mild steatosis group, and 2.9% in those without hepatic steatosis. In a multivariate adjustment model, as compared with participants without hepatic steatosis, those with moderate to severe steatosis had a hazard ratio (HR) of 3.24 (95% confidence interval [CI], 1.64 to 4.2) for the development of diabetes, and those in the mild steatosis group had a HR of 2.33 (95% CI, 1.42 to 3.80). One standard deviation decrease in mean CT attenuation values of the liver was associated with a 40% increase in the development of diabetes (multivariate adjusted HR, 1.40; 95% CI, 1.2 to 1.63).
Conclusion
We found a positive association between severity of hepatic steatosis and risk of incident diabetes. Greater severity of steatosis was associated with a higher risk of incident diabetes.
- Clinical Applicability of Ultrasonometric Skin Thickness Measurement in the Diagnosis of Postmenopausal Osteoporosis: Comparison with DXA.
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Young Seol Kim, In Kwon Han, Duk Ju Lee, Kwang Min Kim
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J Korean Endocr Soc. 1998;13(1):60-66. Published online January 1, 2001
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Abstract
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- BACKGROUND
Osteoporosis is developed by progressive decrease of bone rnass from decreased collagen content of bone. Accurate measurement of bone collagen is necessary for the diagnosis of osteoporosis and it is possible by bone biopsy, however bone biopsy is not easy in clinical practice. Skin collagen is consist with type I collagen which is same type of bone collagen and progressive decrease of bone collagen is reflected by decrease of skin collagen. Since skin thickness reflect skin collagen amount, skin thickness measurement may be a useful method for the evaluation of osteoporosis. So ultrasonic skin thickness measurement was developed for the evaluation of osteoporosis. METHODS: A randomly selected 200 women aged fram 30 to 71 years old were asked to have their skin thickness measured as well as lumbar vertebral DXA(Norland, USA) bone densitometry. Except for the two women who failed to complete the study, 45(22.7%) of these women were diagnosed as normal, 74(37.4%) were osteopenic and 79(39.9%) were diagnosed as osteoporosis patients using the WHO criteria. Skin thickness was measured using 20MHz Osteoson DCIII (Minhorst, Germany) at the medial side of the upper arm. A minimal of Two scans were measured and the mean value was cakulated automatically. RESULTS: The correlation coefficient of skin thickness and age was -0.121(ns), DXA BMD(bone mineral density) and age was -0.420(P<0.01), skin thickness and DXA BMD L2-L4 was 0.181(P<0.05). Skin thickness was significantly correlated with body weight(correlation coefficient 0.254, P<0.01) and BMI(correlation coefficient 0.195, P<0.01). Furthermore, the mean and standard deviation of skin thickness in normal BMD group was 0.94+-0.021mm, osteopenic group was 0.92+-0.006mm, and osteoporotic group was 0.89+-0.018mm. There was statistically significant difference in the mean values of skin thickness between the three groups even adjusted with age and BMI(P<0.05). The mean and standard deviation of skin tbickness of healthy 20-40 year old women was 1.11+-0,023mm and their mean and standard deviation of L2-L4 mean BMD was 1.17+-0.145mg/cm2. The diagnostic predictability of skin thickness less than 1mm as the risk of osteoporosis(BMD T score less than -1.0) was evaluated. The sensitivity and the specificity of skin thickness less than 1mm being osteoporotic were 78,2% and 57.8% respectively. The positive and negative predictive value of the skin thickness less than 1mm being osteoporotic were 82.2% and 36.5% respectively. CONCLUSION: This study indicate that the skin thickaess measured with the ultrasound method show good correlatian with the bone density measured with conventional DXA at the lumbar vertebra and the skin thickness less than 1mm on the medial side of the opper arm is relatively sensitive in diagnosing osteoporosis risk in Korean women. The authors suggested that a large randomized control study to define the relationship between the skin thickness and the other determinants of bone turnover in the near future.
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